// Electronics & Communication Engineer

Siddhant
Singh

B.Tech ECE · Lovely Professional University

Embedded systems enthusiast building real-world solutions with microcontrollers, IoT, and intelligent automation.

View Projects Get in Touch ⬇ Download CV

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// 01. about

About Me

Hey! I'm Siddhant Singh. I'm a 3rd-year ECE student at Lovely Professional University, passionate about embedded systems, microcontrollers, IoT, and intelligent automation.

I love building projects that bridge the gap between hardware and software — from voice-controlled automation using 8051 to water quality monitoring with ML on ESP32. I thrive on solving real-world engineering problems and enjoy working at the intersection of electronics and software.

Outside academics, I enjoy competitive programming in C++ and exploring the intersection of electronics and machine learning.

NAME Siddhant Singh

EMAIL [email protected]

PHONE +91-7737461319

DEGREE B.Tech ECE · LPU

GOAL Placements & Core ECE Roles

// 02. skills

Skills

LANGUAGES

C++ C MicroPython Assembly

TOOLS & PLATFORMS

Proteus LogixPro MATLAB VS Code Keil uVision Arduino IDE Blynk IoT

HARDWARE

8051 MCU ESP32 HC-05 BT PLC Sensors

SOFT SKILLS

Decision Making Logical Reasoning Fast Learner Positive Attitude

// 03. projects

Projects

July 2025

PLC-based Car Control Simulation

Designed and simulated car control in LogixPro PLC simulator, automating parking logic. Developed ladder logic programs incorporating timers, latches, and interlocks to ensure proper sequencing. Implemented safety features preventing overflow and ensuring proper valve/conveyor coordination.

LogixPro PLC Ladder Logic

May 2025

Home Voice Controlled Automation (8051 + BT)

Developed a home automation system using the 8051 Microcontroller to operate household appliances via voice commands. Connected HC-05 Bluetooth module with a mobile app. Programmed control logic in Assembly to switch lights and fans efficiently.

8051 MCU HC-05 Assembly Keil uVision

March 2025

Water Adulteration Detection System

Built a cost-effective water quality monitoring solution using ESP32 and digital sensors (turbidity, TDS). Applied ML models to classify water quality as safe, moderately polluted, or severely contaminated. Built real-time alerts via Wi-Fi and Blynk IoT for remote smartphone monitoring.

ESP32 Machine Learning Blynk IoT Arduino IDE C

// 04. certificates